Split, Embed and Merge: An accurate table structure recognizer

Article Computer Science, Artificial Intelligence

TextMountain: Accurate scene text detection via instance segmentation

Yixing Zhu et al.

Summary: This paper introduces a novel scene text detection method named TextMountain, which utilizes border-center information and can effectively handle multi-oriented and curved text. Experimental results demonstrate better performance in terms of both accuracy and efficiency.

PATTERN RECOGNITION (2021)

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Article Computer Science, Artificial Intelligence

Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes

Minghui Liao et al.

Summary: The paper introduces an end-to-end trainable neural network named Mask TextSpotter for scene text spotting, which combines text detection and recognition. By utilizing two-dimensional space via semantic segmentation, it simplifies the learning procedure and is able to handle text instances of irregular shapes effectively.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)

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Article Computer Science, Artificial Intelligence

Accuracy vs. complexity: A trade-off in visual question answering models

Moshiur Farazi et al.

Summary: This paper systematically studies the trade-off between model complexity and performance in VQA models, with a specific focus on the impact of multi-modal fusion. Through thorough experimental evaluation, three proposals are presented, optimized for minimal complexity, balanced complexity-accuracy, and state-of-the-art VQA performance.

PATTERN RECOGNITION (2021)

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Article Computer Science, Artificial Intelligence

Linguistically-aware attention for reducing the semantic gap in vision-language tasks

K. V. Gouthaman et al.

Summary: The paper proposes a Linguistically-aware Attention (LAT) mechanism to bridge the semantic gap between visual and textual modalities in Vision-language tasks. LAT leverages object attributes and pre-trained language models to provide linguistic awareness to the attention process, and shows improved performance in various V-L tasks.

PATTERN RECOGNITION (2021)

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Article Computer Science, Information Systems